A new metric for the assessment of spatial resolution in satellite imagers

Valenzuela, Alvaro; Reinke, Karin; Jones, Simon

doi:10.1016/j.jag.2022.103051

Cited by 10 publications

(4 citation statements)

References 51 publications

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“…Given an MMU of ~ 2 /3 of Landsat pixel, 10x super resolution appears to be an unnecessarily high resolution ratio for hydrological mapping, and 2x or 4x ratios may be just as effective. Future work could quantify the gain in intrinsic spatial resolution of SR images (Valenzuela et al 2022) in comparison to the nominal resolution ratio. Results could also be improved by incorporating multi-temporal inputs using techniques from multi-image or video SR (Xiao et al 2022).…”

Section: Limitations and Future Workmentioning

confidence: 99%

Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery

Kyzivat¹,

Smith²

2024

Preprint

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Landsat is the longest-running environmental satellite program and has been used for surface water mapping of large water bodies since its launch in 1972. Remote sensing image resolution is increasingly being enhanced through single image super resolution (SR), a machine learning task typically performed by neural networks. Here, we show that a 10x SR model (Enhanced Super Resolution GAN, or ESRGAN) trained entirely with Planet SmallSat imagery (3 m resolution) can be applied to 30 m Landsat imagery to produce 3 m Landsat SR images with preserved radiometric properties. We test the utility of these Landsat SR images for small lake detection by applying a simple water classification to SR and native Landsat imagery and comparing to independent, high-resolution water maps. SR images appear realistic and have fewer missed detections (type II error) compared to LR, but exhibit errors in lake location and shape, and yield increasing false detections (type I error) with decreasing lake size. SR enhancement improves detection of small lakes sized several Landsat pixels or less, with a minimum mapping unit (MMU) of ~ 2/3 of a Landsat pixel. We also apply the SR model to a historical Landsat 5 image and find similar performance gains, using an independent 1985 air photo map of 242 small Alaskan lakes. This demonstration of retroactively generated 3 m imagery dating to 1985 has exciting applications beyond water detection. Yet, much work remains to be done surrounding technical and ethical guidelines for the creation, use, and dissemination of SR satellite imagery.

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Section: Limitations and Future Workmentioning

confidence: 99%

Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery

Kyzivat¹,

Smith²

2024

Preprint

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“…Spatial resolution, a crucial factor in satellite imaging, defines the smallest real-world object captured in a two-dimensional image, determining the applicability of the product. High-resolution satellite imagery and aerial photography excel at small-scale detail, whereas lower-resolution satellite imagery offers information at a larger scale with reduced detail (Valenzuela et al 2022).…”

Section: Remote Sensing Data and Other Sourcesmentioning

confidence: 99%

River water quality modelling in South Africa: Considerations, sourcing and accessing of input data

Mahlathi,

Brink,

Wilms

2024

J. S. Afr. Inst. Civ. Eng.

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River water quality modelling relies on a good dataset for model input, calibration and validation to develop a reliable model. Determination of data requirements, and data sourcing towards this purpose in South Africa, are not elementary. Data availability is key throughout the modelling processes, making the sourcing of good data equally imperative. This paper provides starting considerations, and compiles a list of available data sources applicable to river water quality modelling in South Africa. It also provides a background on the included data sources and a general overview of the extent of the databases.

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“…Využití metod DPZ má z hlediska výzkumu tepelného prostředí města řadu specifik a omezení, která jsou často opomíjena. Nejedná se pouze o problémy zmíněné výše, ale i o problémy spojené s měřítkem (Valenzuela, Reinke, Jones 2022). Při interpretaci získaných výsledků a formulování závěrů by měla být vždy brána v potaz např.…”

Section: Dálkový Průzkum Zeměunclassified

Traditional and novel approaches to studying the human thermal environment in urban areas: A critical review of the current state of the art

2023

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Traditional approaches to researching the urban thermal environment focus on identifying the specific manifestations of the local climate and microclimate within urban structures and various types of urban development, and on detecting urban heat islands using meteorological station data, mobile measurements, remote sensing, and (micro)climatic modelling. Nonetheless, current manifestations of climate change and its projections into the future bring the need for the effective climatic adaptation of urban environments. Current research focuses on approaches allowing for a more complex assessment of both the thermal and overall environment of people in towns and cities. This requires numerical modelling in high spatial resolution and large questionnaire surveys. Despite many unanswered theoretical and methodological questions, the approaches to and knowledge of the human urban thermal environment demonstrate growing application potential.

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A new metric for the assessment of spatial resolution in satellite imagers

Cited by 10 publications

References 51 publications

Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery

Contemporary and historical detection of small lakes using cross-sensor super resolution Landsat imagery

River water quality modelling in South Africa: Considerations, sourcing and accessing of input data

Traditional and novel approaches to studying the human thermal environment in urban areas: A critical review of the current state of the art

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